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Short-term streamflow forecasting using hybrid deep learning model based on grey wolf algorithm for hydrological time series
HC Kilinc, A Yurtsever - Sustainability, 2022 - mdpi.com
The effects of develo** technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …
been expanding gradually. Particularly, the growth in water consumption has revealed the …
Multi-objective harris hawks optimizer for multiobjective optimization problems
U Yüzgeç, M Kusoglu - BSEU Journal of Engineering …, 2020 - bseujert.bilecik.edu.tr
In this paper, a multi-objective version of the Harris Hawk Optimizer algorithm (HHO) is
proposed, which is called Multi-Objective Harris Hawk Optimization (MOHHO). In the …
proposed, which is called Multi-Objective Harris Hawk Optimization (MOHHO). In the …
Daily scale streamflow forecasting based-hybrid gradient boosting machine learning model
Hybrid model selection built with models based on machine learning (ML) and Deep
learning (DL) has a significant impact on river flow predictions. Sustainable use of water …
learning (DL) has a significant impact on river flow predictions. Sustainable use of water …
A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters
The presence of Salmonella in agricultural waters may be a source of produce
contamination. Recently, the performances of various algorithms have been tested for the …
contamination. Recently, the performances of various algorithms have been tested for the …
[PDF][PDF] Optimization of Non-Linear Problems Using Salp Swarm Algorithm and Solving the Energy Efficiency Problem of Buildings with Salp Swarm Algorithm-based …
The aim of this paper is to evaluate the optimization capabilities of the salp swarm algorithm
(SSA), a metaheuristic algorithm capable of addressing contemporary global challenges …
(SSA), a metaheuristic algorithm capable of addressing contemporary global challenges …
[PDF][PDF] Solution of design optimization problems via metaheuristic search methods
B Üstüner, E Doğan - Journal of Structural Engineering & …, 2022 - goldenlightpublish.com
The method of searching for the best solution to the problem under certain conditions is
called optimization. Optimization solution methods can generally be examined under two …
called optimization. Optimization solution methods can generally be examined under two …
YAPAY ZEKÂ TABANLI SİSTEMLERDEN ÜRETİLEN TEKNOLOJİLERİN ASKERİ HAREKÂTIN SEVK VE İDARESİNDE KULLANILMASINA YÖNELİK BİR …
M Şengöz - Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 2021 - dergipark.org.tr
Harp teknolojileri, iletişim ve bilişim teknolojilerindeki gelişmeler ve tehdidin mahiyetindeki
değişimler, silahlı kuvvetlerin konvansiyonel ve konvansiyonel olmayan mahiyette kuvvet …
değişimler, silahlı kuvvetlerin konvansiyonel ve konvansiyonel olmayan mahiyette kuvvet …
Groundwater Level Prediction Based on Hybrid GRU with Grey Wolf Optimizer Approach
RS Ingle, S Samantaray, A Sahoo - Proceedings of Eighth International …, 2024 - Springer
Groundwater level (GWL) forecasting accuracy at many time scales is critical for water
resource scheduling and agricultural management. However, forecasting GWL in some …
resource scheduling and agricultural management. However, forecasting GWL in some …
[PDF][PDF] Short-Term Streamflow Forecasting Using Hybrid Deep Learning Model Based on Grey Wolf Algorithm for Hydrological Time Series. Sustain. 2022, 14, 3352
HC Kilinc, A Yurtsever - 2022 - researchgate.net
The effects of develo** technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …
been expanding gradually. Particularly, the growth in water consumption has revealed the …
Yılan Optimizasyon Algoritması ile CEC 2019 Problem Seti ve Mühendislik Problemlerinin Çözümü
Optimizasyon problemlerinin çözümünde Meta-sezgisel algoritmaların kullanımı yaygındır.
Bu çalışmada, CEC-2019 problem setinin çözümünde Yılan Optimizasyonu (Snake …
Bu çalışmada, CEC-2019 problem setinin çözümünde Yılan Optimizasyonu (Snake …